住宿
共享经济
心理学
价值(数学)
寄主(生物学)
社会心理学
社会学
广告
计算机科学
业务
万维网
数学
生态学
统计
生物
神经科学
作者
Weiwei Qiu,Haitao Yu,Chin-Hsun Tsai,Di Zhu,Ming‐Hsiang Chen,Hyun Jeong Kim
标识
DOI:10.1016/j.ijhm.2023.103599
摘要
This study examined the relationship between host-guest intimacy (HGI) and sharing accommodation satisfaction (SAS) using a novel mixed-method approach of grounded theory techniques, natural language processing, and big data analysis based on 46,765 Airbnb online reviews from 3105 sharing properties in New York. Using Airbnb online reviews, a conceptual model was developed to explore the HGI-SAS relationship and quantify HGI. The findings demonstrated that in positive intimacy, behavior, place, emotion, and culture all have a significant effect on SAS via the generalized method of moments (GMM) regression, whereas only behavior and place in negative intimacy have a significant effect on SAS, demonstrating the importance and distinction of HGI in sharing accommodation.
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